Collaborative Research: Pacific Alliance for Low-Income Inclusion in Statistics & Data Science

合作研究：太平洋低收入统计联盟

• 批准号: 2221421
• 负责人: Michael Ludkovski
• 金额: $ 323.95万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2028-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2221421&HistoricalAwards=false
• 关键词: Collaborative; Research; Pacific; Alliance; Low

This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at the University of California - Santa Barbara, the University of California - Irvine, the University of Washington, California State University, East Bay, California State University, Monterey Bay, San Diego State University, and California Polytechnic State University, San Luis Obispo. The Data Revolution is generating numerous well-paid career paths, and creating a significant workforce shortage, in Statistics & Data Science. Graduate degrees are needed for many lucrative, data-rich careers, which can represent a significant barrier for low-income students. This project will provide scholarship support to approximately 115 talented, low-income undergraduate students studying statistics and data science and provide continued scholarship support for at least 65 of them over two years of graduate studies. Scholars will benefit from faculty and peer mentoring, an annual meeting that spans all seven participating schools, and support for applying to and preparing for graduate school, including a pre-grad summer bootcamp. Additional academic supports include a small-group directed reading program, shared coursework to build community within scholar cohorts, and undergraduate research opportunities.The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. Additional project goals and aims include: (a) to offer a cohort-based program that supports students financially via scholarships lasting up to 3 years; (b) provide scholars with academic and co-curricular experiences designed to facilitate placement into careers in statistics and data science; and (c) offer interventions to enhance scholars’ community cultural capital. Project research will use surveys and interviews to study three main themes: (a) how counterspaces and other kinds of community develop and support scholars’ progress towards their goals; (b) how scholars’ community cultural wealth shapes and is shaped by the counterspaces and communities that develop; and (c) how students’ low-income status and other identities impact key counterspaces and communities and influence scholars’ choices and outcomes. Project evaluation will provide formative and summative feedback on all aspects of the project to support efficient progress towards goals. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将通过支持加州大学圣塔芭芭拉分校表现出经济需求的高成就、低收入学生的保留和毕业，满足国家对受过良好教育的科学家、数学家、工程师和技术人员的需求。加州大学欧文分校、华盛顿大学、加州州立大学东湾分校、加州州立大学蒙特利湾分校、圣地亚哥州立大学和加州理工州立大学圣路易斯奥比斯波分校 数据革命正在催生众多高薪职业道路。 ， 和统计和数据科学领域的劳动力严重短缺，许多利润丰厚、数据丰富的职业都需要研究生学位，这对低收入学生来说是一个重大障碍。该项目将为大约 115 名有才华的低收入学生提供奖学金支持。收入学习统计和数据科学的本科生，并在两年的研究生学习中为至少 65 名学生提供持续的奖学金支持，学者们将受益于教师和同行指导、涵盖所有七所参与学校的年度会议以及申请支持。并为研究生院做准备，包括其他学术支持包括小组定向阅读计划、在学者群体中建立社区的共享课程以及本科生研究机会。该项目的总体目标是提高低收入、高收入群体的 STEM 学位完成率。 - 实现有经济需求的本科生的其他项目目标包括：(a) 提供基于队列的计划，通过长达 3 年的奖学金为学生提供经济支持；(b) 为学者提供设计的学术和课外体验。促进统计职业的就业和数据科学；以及（c）提供干预措施以增强学者的社区文化资本。项目研究将利用调查和访谈来研究三个主题：（a）反空间和其他类型的社区如何发展并支持学者实现其目标。 (b) 学者的社区文化财富如何塑造以及由发展中的对应空间和社区塑造；(c) 学生的低收入状况和其他身份如何影响关键的对应空间和社区以及学者的选择和结果。将为所有方面提供形成性和总结性反馈该项目由 NSF 的科学、技术、工程和数学奖学金项目资助，该项目旨在增加有经济需求的低收入学生获得 STEM 学位的数量。它还旨在改善未来 STEM 工作者的教育，并提供有关低收入学生的学业成功、保留、转学、毕业和学术/职业道路的知识。该奖项是 NSF 的法定使命，并被认为是值得的。支持通过使用基金会的智力价值和更广泛的影响审查标准进行评估。